Method for collective pitch control of wind turbine generator system

Wind energy has the characteristics of lower density, random, instability and so on, which is of great realistic significance to make a deep study on control technology of wind turbines especially in large scale sets. Based on the domestic megawatt wind turbine generator system, the pitch control techniques for large scale wind turbine are deeply analyzed,and the essential regulations of pitch control was put forward in this paper. A design of fuzzy PID controller, based on self-turning parameters for collective pitch control (CPC), was brought forward,and simulation modules were founded in MATLAB/Simulink. Simulation results show that the collective pitch control system of fuzzy PID can make the large turbine generator system control the power better. In addition, a control strategy of individual pitch control (IPC) based on inflow angle prediction was put forward using neural networks. And IPC is better than CPC by simulation. By means of comparison,individual pitch control is stabler and can effectively reduce the aerodynamic fatigue loads on blades, and its effect of power of collective pitch control is good.